Real-Time Algorithm-Guided Ventilation Feedback to Improve Lung-Protective Ventilation in Adults With ARDS Receiving Mechanical Ventilation

What this Trial Is About

Researchers are evaluating whether a real-time, algorithm-driven ventilation feedback system can improve lung-protective ventilation LPV in critically ill patients with acute respiratory distress syndrome ARDS or similar respiratory failure who are receiving invasive mechanical ventilation. The study compares this new technology against standard intensive care unit ICU care, aiming to increase the time patients maintain safe ventilation settings. The main goal is to see if this approach helps reduce ventilator-induced lung injury and improve outcomes over the first 72 hours of ventilation. Participants are randomly assigned to one of two groups the intervention group receives continuous respiratory waveform monitoring via a cloud-based system called RemoteVentilate ViewTM, which provides real-time alerts, 4-hour window checks, and daily summary reports to guide ventilator adjustments. The control group receives usual ICU care with standard ventilator monitoring but without structured feedback. Both groups continue to receive other treatments such as fluid management, sedation, and adjunct respiratory monitoring as decided by their clinical teams. During the study, participants are monitored closely with high-frequency data collection on ventilation parameters and patient-ventilator synchrony. Researchers measure the daily rate of lung-protective ventilation achievement over the first 72 hours, ventilator-free days at 28 days, ICU length of stay, inflammatory markers, and rates of complications like ventilator-associated pneumonia and barotrauma. Usability and workload for clinicians using the feedback system are also assessed. The total study period includes close monitoring throughout ICU care, with outcomes followed up to 28 days after enrollment.

Real-Time Algorithm-Driven Ventilation Feedback to Improve Lung-Protective Ventilation in Patients With ARDS (REALVENT-study)